Data Scientist - Member Economics

Job Description

Data Scientist (L6) - Member Economics

The Member Data Science and Engineering (Member DSE) team is at the forefront of driving innovations in Netflix's core product experience within our streaming and new business domains through data. The team collaborates extensively with cross-functional and other DSE teams to identify, incubate and enable product innovations leveraging rigorous scientific techniques, robust data layers, and scalable tooling.

In this role (Member Economics DS), you will be a technical lead to develop concepts, models, and valuations for our product as Netflix expands into new lines of entertainment (Games, Live, etc.) and monetization models (like Ads). You will help drive innovation for our personalization algorithms and merchandising grounded in econometrics, machine learning, and a deep understanding of engineering systems. As a tech lead, you will influence the work of many other scientists, researchers, and engineers across teams.

In this role, you will:
• Identify opportunities and develop R&D roadmaps to increase member understanding and satisfaction grounded in econometrics and machine learning
• Develop and implement rigorous scientific methods and models to enable valuations and price discovery within the product
• Connect the dots across business areas and inform how we create an optimal member experience while balancing business objectives and engineering constraints
• Establish strong partnerships with stakeholders to shape the vision of the space
• Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
• Act as a mentor to a stunning team of data scientists and analytics engineers
• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of member experience.

To be successful in this role, you have:
• Deep econometrics expertise and intuition about how consumer-scale production algorithms work
• Outstanding communication skills, capable of bridging technical and non-technical audiences and influencing partners with clear insights, data-driven recommendations, and compelling narratives
• Strong thought partnership, adept at building trust and credibility with stakeholders by demonstrating clarity, sound judgment, and a member-centric perspective
• Proficiency in SQL and statistical programming, with a proven track record of leveraging these tools to deliver impactful results
• Experience with algorithms as a product, including practical applications like recommendation systems, ranking algorithms, or personalization strategies
• Good judgment in balancing trade-offs, recognizing when to focus on immediate stakeholder needs versus investing in scalable, reusable solutions for broader use cases
• Proactive and self-directed problem-solving, with the ability to independently drive projects from ideation to execution
• Mentorship and leadership skills, fostering growth and accountability within a team while ensuring the delivery of high-quality, trustworthy outputs

Visit our culture deck and our Research page to learn more about what it's like to work at Netflix.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $400,000 - $960,000.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Jobcode: Reference SBJ-rzxmpq-18-97-14-85-42 in your application.